# Gaussian distribution

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## Gauss·i·an distribution

(gou′sē-ən)
n.

[After Karl Friedrich Gauss.]

## Gaussian distribution

n
(Statistics) another name for normal distribution
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

## nor′mal distribu′tion

n.
a theoretical frequency distribution represented by a normal curve. Also called Gaussian distribution.
ThesaurusAntonymsRelated WordsSynonymsLegend:
 Noun 1 Gaussian distribution - a theoretical distribution with finite mean and variancenormal distributiondistribution, statistical distribution - (statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrencestatistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
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Geekbench's CPU tests also take into account the memory latency and performs a lot of real-life tests like HDR processing, ray-tracing, gaussian blur, face recognition and more.
In practice, the Gaussian blur filter is well known by users that do tampering in the image due to it's simplicity.
However, differences between the original image and edited elements typically persist despite any attempts to obfuscate them, such as applying a Gaussian blur, and machines can be trained to spot those discrepancies.
Usually, there are four types of blur, that is, linear blur, rotation blur, zoom blur, and Gaussian blur, considered as to occur in a moving environment.
When I started making MythBusters, I read a study by some researchers who figured out that if you're standing five feet from me or twenty feet from me, my vision of you is equivalent to a certain amount of Gaussian blur, depending upon your distance.
Then, the linear transformation algorithm is used to estimate the rough transmission map, , and finally, the Gaussian blur method is used to refine the rough transmittance function to obtain .
BLF is capable of fixing the problem of Gaussian blur in traditional Gaussian-convolution based image filtering methods as it combines two components: Euclidean distance and radiometric difference expressed by the following equations:
Two original images as well as the corresponding blurred and noisy images with the PSF of Gaussian blur and the non-strongly symmetric PSF (see Figure 4) are shown in Figure 5.
The method presented can successfully remove Gaussian blur from distorted images and renders better results than the specialized tool included in Adobe Photoshop CS3.
These images are distorted using five different distortion types: JPEG2000, JPEG, Gaussian blur in RGB components, white noise in the RGB components, and bit errors in the JPEG2000 bitstream when transmitted over a simulated fast-fading Rayleigh channel.
The images are assumed to be corrupted with multiplicative Gamma noise and shift invariant Gaussian blur. Further the presence of a switching p-laplacian diffusion term helps in reducing the staircase effect, which otherwise appears in all second-order nonlinear PDE models.

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